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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data cleaning?
π‘ Hint: Think about tasks that ensure your data is correct.
Question 2
Easy
Give one reason why accuracy is important.
π‘ Hint: Consider the consequences of faulty conclusions.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is one key reason for data cleaning?
π‘ Hint: Think about what bad data can do.
Question 2
True or False: Inconsistent data can result in contradictory insights.
π‘ Hint: Consider the nature of contradictions in data!
Solve and get performance evaluation
Push your limits with challenges.
Question 1
You are given a dataset with mixed data types for a single column. Suggest a method for cleaning this data.
π‘ Hint: Think about how you would ensure uniform entries.
Question 2
Consider a scenario where a business was negatively impacted by relying on flawed data. Analyze the potential impact and suggest systematic approaches to enhance data integrity.
π‘ Hint: Think of how prevention steps could have changed the outcome.
Challenge and get performance evaluation